466 citations · 568 across the 13 of their papers we have counts for
Showing 2018Show all
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stat.AP2018★ 16 cited
Mitigating Included- and Omitted-Variable Bias in Estimates of Disparate Impact
Jongbin Jung, Sam Corbett-Davies, Johann D. Gaebler +2
Managers, employers, policymakers, and others often seek to understand whether decisions are biased against certain groups. One popular analytic strategy is to estimate disparities…
cs.CY2018★ 466 cited
The Measure and Mismeasure of Fairness
Sam Corbett-Davies, Johann D. Gaebler, Hamed Nilforoshan +2
The field of fair machine learning aims to ensure that decisions guided by algorithms are equitable. Over the last decade, several formal, mathematical definitions of fairness have…